Triple

T10171227
Position Surface form Disambiguated ID Type / Status
Subject Afro-Eurasia E235333 entity
Predicate containsRiver P165 FINISHED
Object Yangtze E13303 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yangtze | Statement: [Afro-Eurasia, containsRiver, Yangtze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangtze
Context triple: [Afro-Eurasia, containsRiver, Yangtze]
  • A. Yangtze River chosen
    The Yangtze River is the longest river in Asia and a crucial waterway in China, supporting major cities, transportation, agriculture, and hydroelectric power.
  • B. Chang River
    The Chang River is a significant waterway flowing through Jingdezhen, a city in Jiangxi Province renowned for its porcelain production.
  • C. Fujiang River
    The Fujiang River is a significant river in southwestern China that flows through Sichuan and Chongqing, contributing to the regional water system and ultimately joining the Min River.
  • D. Mao River
    Mao River is a waterway flowing through Shanghai's Qingpu District, contributing to the area's local river network and drainage system.
  • E. Yellow River
    The Yellow River is a river in the U.S. state of Florida that flows through the western Panhandle before emptying into Escambia Bay near the Gulf of Mexico.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b0e4eac8190af28db3d334852cb completed April 10, 2026, 9:26 p.m.
Created at: March 30, 2026, 9:10 p.m.